Road Damage Detection From Post-Disaster High-Resolution Remote Sensing Images Based on TLD Framework-Reference-Cited by-同舟云学术

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Road Damage Detection From Post-Disaster High-Resolution Remote Sensing Images Based on TLD Framework

Published:2022 Issue: Volume:10 Page:43552-43561
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zhao Kang¹^ORCID,Liu Jingjing²^ORCID,Wang Qingnan³^ORCID,Wu Xianjun⁴,Tu Jihui¹^ORCID

Affiliation:

1. National Engineering Laboratory for Surface Transportation Weather Impacts Prevention, Broadvision Engineering Consultants, Kunming, China

2. Electronics & Information School of Yangtze University, Jingzhou, China

3. College of Mechanical and Optoelectronic Physics, Huaihua University, Huaihua, China

4. PowerChina Kunming Engineering Corporation Limited, Kunming, China

Funder

Opening Research Fund of National Engineering Laboratory for Surface Transportation Weather Impacts Prevention

Yunnan Fundamental Research Projects

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09761068.pdf?arnumber=9761068

Reference28 articles.

1. A Novel Method for Urban Road Damage Detection Using Very High Resolution Satellite Imagery and Road Map

2. A New Neuro-Fuzzy Approach for Post-earthquake Road Damage Assessment Using GA and SVM Classification from QuickBird Satellite Images

3. Detecting Damaged Building Regions Based on Semantic Scene Change from Multi-Temporal High-Resolution Remote Sensing Images

4. Post-earthquake road damage assessment using region-based algorithms from high-resolution satellite images

5. Knowledge-Based Detection and Assessment of Damaged Roads Using Post-Disaster High-Resolution Remote Sensing Image

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1. Advancing high-resolution remote sensing: a compact and powerful approach to semantic segmentation;International Journal of Remote Sensing;2024-09-08

2. Advances in Rapid Damage Identification Methods for Post-Disaster Regional Buildings Based on Remote Sensing Images: A Survey;Buildings;2024-03-26

3. A Multi-Hazard Risk Assessment Model for a Road Network Based on Neural Networks and Fuzzy Comprehensive Evaluation;Sustainability;2024-03-14

4. Real-time identification of collapsed buildings triggered by natural disasters using a modified object-detection network with quasi-panchromatic images;European Journal of Remote Sensing;2024-02-18

5. Artificial Intelligence for road quality assessment in smart cities: a machine learning approach to acoustic data analysis;Computational Urban Science;2023-09-08

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